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SourceSage

by sarathsp06

SourceSage is an MCP server that efficiently memorizes key aspects of a codebase, including logic, style, and standards, while allowing dynamic updates and fast retrieval. It's designed to be language-agnostic, leveraging the LLM's understanding of code across multiple languages.

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What is SourceSage?

SourceSage is an MCP (Model Context Protocol) server designed to efficiently store and retrieve information about a codebase for use by Large Language Models (LLMs). It uses a knowledge graph to store code entities, relationships, patterns, and style conventions, enabling LLMs to understand and work with code more effectively.

How to use SourceSage?

To use SourceSage, you need to install the package and run the MCP server. Then, configure Claude for Desktop to connect to the SourceSage server. Once connected, you can use Claude to analyze code, register entities and relationships using the provided MCP tools, and query the knowledge graph to retrieve information about the codebase.

Key features of SourceSage

  • Language Agnostic

  • Knowledge Graph Storage

  • LLM-Driven Analysis

  • Token-Efficient Storage

  • Incremental Updates

  • Fast Retrieval

Use cases of SourceSage

  • Code understanding and analysis by LLMs

  • Generating code documentation

  • Identifying code patterns and style conventions

  • Improving code quality and maintainability

FAQ from SourceSage

What programming languages does SourceSage support?

SourceSage is language-agnostic and works with any programming language that the LLM understands.

How does SourceSage store code knowledge?

SourceSage stores code knowledge in a token-efficient graph structure, representing entities, relationships, patterns, and style conventions.

How does SourceSage handle code updates?

SourceSage supports incremental updates, allowing knowledge to be updated when code changes without redundant storage.

How does SourceSage leverage LLMs?

SourceSage leverages LLMs to analyze code, extract semantic information, and query the knowledge graph.

How is SourceSage different from traditional code analysis tools?

Unlike traditional tools, SourceSage leverages LLM understanding, stores semantic knowledge, is language-agnostic, optimizes for token efficiency, and evolves with LLM capabilities.